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Fractional order modelling and identification for a phantom EEG system

Gildas Besancon 1 Guillaume Becq 2 Alina Voda 1
1 GIPSA-MODUS - GIPSA - Modelling and Optimal Decision for Uncertain Systems
GIPSA-PAD - GIPSA Pôle Automatique et Diagnostic
2 GIPSA-Services - GIPSA-Services
GIPSA-lab - Grenoble Images Parole Signal Automatique
Abstract : This paper is about dynamical modelling of an electroencephalographic (EEG) measurement chain. It is based on a home-made experimental set-up consisting of an electrolytic medium, stimulated by external electrodes, the activity of which is measured at different points via other electrodes, connected to anelectroencephalographicrecordingdevice.Anovelnon-integer ordermodelstructureisthenestablishedwithaso-calledconstant phase element, and a Nyquist-based graphical method is derived to identify the non-integer order. The study is completed with a recursive identification method for full parameter estimation in the model, and various applications on experimental data are presented, finally resulting in a fully identified non integer order high pass filter.
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Submitted on : Friday, January 11, 2019 - 5:07:17 PM
Last modification on : Tuesday, February 16, 2021 - 3:28:50 AM

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Gildas Besancon, Guillaume Becq, Alina Voda. Fractional order modelling and identification for a phantom EEG system. IEEE Transactions on Control Systems Technology, Institute of Electrical and Electronics Engineers, 2020, 28 (1), pp.130-138. ⟨10.1109/TCST.2019.2891621⟩. ⟨hal-01978762⟩

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